End-to-End-Encryption | Breaking Cybersecurity News | The Hacker News

Meta Platforms on Monday announced that it has started to expand global testing of end-to-end encryption ( E2EE ) in Messenger chats by default. "Over the next few months, more people will continue to see some of their chats gradually being upgraded with an extra layer of protection provided by end-to-end encryption," Meta's Melissa Miranda  said . The social media behemoth said it intends to notify users in select individual chat threads as the security feature is enabled, while emphasizing that the process of choosing and upgrading the conversations to support E2EE is random. "It's designed to be random so that there isn't a negative impact on our infrastructure and people's chat experience," Miranda further explained. Along with flipping the switch on E2EE, Meta has also added more features into its encrypted chat experience, including support for themes, custom emojis and reactions, group profile photos, link previews, and active status. T

Social media company Meta said it will begin testing end-to-end encryption (E2EE) on its Messenger platform this week for select users as the default option, as the company continues to slowly add security layers to its various chat services. "If you're in the test group, some of your most frequent chats may be automatically end-to-end encrypted, which means you won't have to opt in to the feature," Sara Su, product management director of Messenger Trust,  said . The incremental development comes a year after it  turned on E2EE  for audio and video calls on the messaging service as well as for one-on-one chats in Instagram, and enabled  encrypted chat backups  for WhatsApp on Android and iOS. E2EE is a secure communication mechanism that scrambles data in transit and prevents third-parties from unauthorizedly accessing information sent from one endpoint to another, including Meta. "This is because with end-to-end encryption, your messages are secured with a

Security Orchestration, Automation, and Response (SOAR) was introduced with the promise of revolutionizing Security Operations Centers (SOCs) through automation, reducing manual workloads and enhancing efficiency. However, despite three generations of technology and 10 years of advancements, SOAR hasn't fully delivered on its potential, leaving SOCs still grappling with many of the same challenges. Enter Agentic AI—a new approach that could finally fulfill the SOC's long-awaited vision, providing a more dynamic and adaptive solution to automate SOC operations effectively. Three Generations of SOAR – Still Falling Short SOAR emerged in the mid-2010s with companies like PhantomCyber, Demisto, and Swimlane, promising to automate SOC tasks, improve productivity, and shorten response times. Despite these ambitions, SOAR found its greatest success in automating generalized tasks like threat intel propagation, rather than core threat detection, investigation, and response (TDIR) workloads.